World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
34
Citations
4932
World Ranking
2838
National Ranking
352

XiaoQi Chen publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where XiaoQi Chen sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 259 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

XiaoQi Chen D-index placement in Mechanical and Aerospace Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Mechanical and Aerospace Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where XiaoQi Chen sits on this spectrum.

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 34 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Overview

XiaoQi Chen is affiliated with Swinburne University of Technology in Australia. Their primary field of research is Engineering, with a focus on multiple subfields including Mechanical Engineering, Biomedical Engineering, Electrical and Electronic Engineering, Polymers and Plastics, and Materials Chemistry.

Their research encompasses a range of topics, including:

  • Additive Manufacturing Materials and Processes
  • Additive Manufacturing and 3D Printing Technologies
  • Advanced machining processes and optimization
  • Advanced Surface Polishing Techniques
  • Advanced Machining and Optimization Techniques
  • Welding Techniques and Residual Stresses
  • High Entropy Alloys Studies

XiaoQi Chen has collaborated frequently with several coauthors, including Ze Chai, Yantao Li, Haijun Zhou, Huabin Chen, and Xukai Ren, each contributing to multiple publications with Chen.

The most common publication venues for Chen's work are:

  • Journal of Manufacturing Processes
  • The International Journal of Advanced Manufacturing Technology
  • SSRN Electronic Journal
  • Journal of Physics Conference Series
  • Applied Sciences

Notable recent papers authored or coauthored by XiaoQi Chen include:

  • "Impact of environmental regulation perception on farmers' agricultural green production technology adoption: A new perspective of social capital," Technology in Society, 2022
  • "Green and ultrastrong polyphenol lignin-based vitrimer adhesive with photothermal conversion property, wide temperature adaptability, and solvent resistance," Chemical Engineering Journal, 2023
  • "Digital Twins for Additive Manufacturing: A State-of-the-Art Review," Applied Sciences, 2020
  • "Spatio-temporal propagation of COVID-19 pandemics," Europhysics Letters (EPL), 2020
  • "Tailoring Laves phase and mechanical properties of directed energy deposited Inconel 718 thin-wall via a gradient laser power method," Materials Science and Engineering A, 2021

Best Publications

  • Human-Robot Collaboration: A Literature Review and Augmented Reality Approach in Design:

    Scott A. Green;Mark Billinghurst;XiaoQi Chen;J. Geoffrey Chase

  • An experimental study of tool wear and cutting force variation in the end milling of Inconel 718 with coated carbide inserts

    H.Z. Li;H. Zeng;X.Q. Chen

  • A Robot System for Pruning Grape Vines

    Tom Botterill;Scott Paulin;Richard D. Green;Samuel Williams

  • Robotic grinding and polishing for turbine-vane overhaul

    H Huang;Z.M Gong;X.Q Chen;L Zhou

  • Cracking mechanism and susceptibility of laser melting deposited Inconel 738 superalloy

    Xiaoqiang Zhang;Huabin Chen;Luming Xu;Jijin Xu

  • SMART robotic system for 3D profile turbine vane airfoil repair

    H Huang;ZM Gong;XQ Chen;L Zhou

  • NARX models for simulation of the start-up operation of a single-shaft gas turbine

    Hamid Asgari;XiaoQi Chen;Mirko Morini;Michele Pinelli

  • An experimentally validated double-mass piezoelectric cantilever model for broadband vibration–based energy harvesting:

    Qing Ou;XiaoQi Chen;Stefanie Gutschmidt;Alan Wood

  • Artificial Neural Network–Based System Identification for a Single-Shaft Gas Turbine

    Hamid Asgari;XiaoQi Chen;Mohammad B. Menhaj;Raazesh Sainudiin

  • Development of a tool wear observer model for online tool condition monitoring and control in machining nickel-based alloys

    X. Q. Chen;H. Z. Li

  • Laser visual sensing for seam tracking in robotic arc welding of titanium alloys

    Hong Luo;Xiaoqi Chen

  • Modelling and simulation of gas turbines

    Hamid Asgari;XiaoQi Chen;Raazesh Sainudiin

  • A micropillar-based on-chip system for continuous force measurement of C. elegans

    Ali Ghanbari;Volker Nock;Shazlina Johari;Richard Blaikie

  • A novel sound-based belt condition monitoring method for robotic grinding using optimally pruned extreme learning machine

    Xiaoqiang Zhang;Huabin Chen;Jijin Xu;Xuefeng Song

  • Evaluating the augmented reality human-robot collaboration system

    Scott A. Green;J. Geoffrey Chase;XiaoQi Chen;Mark Billinghurst

  • Modeling and Simulation of the Transient Behavior of an Industrial Power Plant Gas Turbine

    Hamid Asgari;Mauro Venturini;XiaoQi Chen;Raazesh Sainudiin

  • A novel chatter stability criterion for the modelling and simulation of the dynamic milling process in the time domain

    H. Z. Li;X. P. Li;X. Q. Chen

  • A novel material removal prediction method based on acoustic sensing and ensemble XGBoost learning algorithm for robotic belt grinding of Inconel 718

    Kaiyuan Gao;Huabin Chen;Xiaoqiang Zhang;XuKai Ren

  • EEG-Controlled Wall-Crawling Cleaning Robot Using SSVEP-Based Brain-Computer Interface.

    Lei Shao;Longyu Zhang;Abdelkader Nasreddine Belkacem;Yiming Zhang

  • Gas turbine monitoring using neural network dynamic nonlinear autoregressive with external exogenous input modelling

    Mohamed Ben Rahmoune;Ahmed Hafaifa;Abdellah Kouzou;XiaoQi Chen

  • A comprehensive study on surface integrity of nickel-based superalloy Inconel 718 under robotic belt grinding

    Junwei Wang;Jijin Xu;Xiangfei Wang;Xiaoqiang Zhang

  • Haptic Microrobotic Cell Injection System

    Ali Ghanbari;Ben Horan;Saeid Nahavandi;XiaoQi Chen

  • Evaluating the Augmented Reality Human-Robot Collaboration System

    S.A. Green;J.G. Chase;XiaoQi Chen;M. Billinghurst

Frequent Co-Authors

Huaizhong Li
Huaizhong Li Griffith University
Mark Billinghurst
Mark Billinghurst University of South Australia
Gregory A. MacRae
Gregory A. MacRae University of Canterbury
Richard Green
Richard Green University of Canterbury
Han Huang
Han Huang Central South University
Ben Horan
Ben Horan Deakin University
Saeid Nahavandi
Saeid Nahavandi Swinburne University of Technology
John B. Mander
John B. Mander Texas A&M University
YangQuan Chen
YangQuan Chen University of California, Merced
Tim B. F. Woodfield
Tim B. F. Woodfield University of Otago

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